loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
1995 International Conference on Image Processing (ICIP'95) - Volume 2
Improved decoding of compressed images received over noisy channels
Washington D.C.
October 23-October 26
ISBN: 0-8186-7310-9
T.P. O'Rourke, Dept. of Electr. Eng., Notre Dame Univ., IN, USA
R.L. Stevenson, Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Yih-Fang Huang, Dept. of Electr. Eng., Notre Dame Univ., IN, USA
D.J. Costello, Jr., Dept. of Electr. Eng., Notre Dame Univ., IN, USA
This paper presents an image communication system with improved decoding of compressed image information. A convolutional code protects the compressed image information from channel noise while a Reed-Solomon outer code gives additional protection to the critical image header information. A post-processor detects uncorrected channel errors in the reconstructed image and feeds error location information to a list-based iterative trellis decoder. This list-based decoder provides significant improvement in image quality. Experimental results are given for varying channel SNR and for varying bit rate.
Index Terms:
decoding; data compression; image coding; convolutional codes; Reed-Solomon codes; image reconstruction; iterative methods; trellis codes; interference suppression; visual communication; error detection codes; decoding; compressed images; noisy channels; image communication system; convolutional code; channel noise; Reed-Solomon outer code; image header information; post-processor; channel errors; reconstructed image; error location information; list-based iterative trellis decoder; image quality; SNR; bit rate
Citation:
T.P. O'Rourke, R.L. Stevenson, Yih-Fang Huang, D.J. Costello, Jr., "Improved decoding of compressed images received over noisy channels," icip, vol. 2, pp.2065, 1995 International Conference on Image Processing (ICIP'95) - Volume 2, 1995
Usage of this product signifies your acceptance of the Terms of Use.